Comparing the Bayesian Unknown Change-Point Model and Simulation Modeling Analysis to Analyze Single Case Experimental Designs

Comparing the Bayesian Unknown Change-Point Model and Simulation Modeling Analysis to Analyze Single Case Experimental Designs

Recently, there has been an increased interest in developing statistical methodologies for analyzing single case experimental design (SCED) data to supplement visual analysis. Some of these are simulation-driven such as Bayesian methods because Bayesian methods can compensate for small sample sizes,...

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Bibliographic Details
Main Authors: Prathiba Natesan Batley, Ratna Nandakumar, Jayme M. Palka, Pragya Shrestha
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-01-01
Series:Frontiers in Psychology
Subjects:
single case design
Bayesian
Markov Chain Monte Carlo Method
statistical simulation model
interrupted time series analysis
single case experimental designs
Online Access:https://www.frontiersin.org/articles/10.3389/fpsyg.2020.617047/full

Internet

https://www.frontiersin.org/articles/10.3389/fpsyg.2020.617047/full

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